Riverbed change simulation deduction method, device and equipment based on three-dimensional scene model

Abstract

The application discloses a riverbed change simulation deduction method and device based on a three-dimensional scene model, and equipment, and relates to the field of digital twinning of a river basin, wherein the simulation deduction method comprises the following steps: collecting river basin data of a target river basin, and establishing a three-dimensional scene model based on the river basin data; establishing river sand deposition amount change data based on hydrological data monitoring information; and performing riverbed change deduction by using the three-dimensional scene model; and in the case of performing the riverbed change deduction, adjusting a riverbed height parameter in the three-dimensional scene model according to a deposition amount parameter in the river sand deposition amount change data. The application solves the technical problem in the prior art that a three-dimensional scene model capable of dynamically deducing riverbed change cannot be established, thereby failing to timely warn of disasters.

Description

Technical Field

[0001] This invention relates to the field of watershed digital twins, and more specifically, to a method, apparatus, and equipment for simulating and extrapolating riverbed changes based on a three-dimensional scene model. Background Technology

[0002] Currently, due to the lack of vegetation (or deforestation) on both sides of the riverbanks, soil erosion is easily caused, leading to a continuous increase in the sediment content of the river and resulting in the rise of the riverbed within the basin. Riverbed change is a process of continuous rise over time, and current information about the disasters caused by riverbed rise is often presented based on data sheets or popular science introductions. However, residents around the riverbanks are mostly non-professionals and find it difficult to effectively understand these data sheets or popular science introductions, resulting in a low level of awareness among residents regarding the control of soil erosion and the hazards of riverbed rise.

[0003] While current technologies can generate fixed riverbed models based on existing riverbed scanning data, they cannot update these models to reflect real-time hydrological data monitoring. Furthermore, because current riverbed models are based on one-time data acquisition, they cannot effectively simulate the evolution of riverbeds in three dimensions. Additionally, current technologies for processing underwater riverbed changes in watersheds primarily use two-dimensional data to display these changes. However, underwater riverbed evolution data is highly specialized, and two-dimensional representation cannot intuitively and three-dimensionally depict the riverbed's evolution process. This hinders residents' understanding of riverbed changes, reduces their awareness of soil erosion control, and prevents timely warnings of disasters caused by riverbed rise.

[0004] There is currently no effective solution to the above problems. Summary of the Invention

[0005] This invention provides a method, apparatus, and equipment for simulating and extrapolating riverbed changes based on a three-dimensional scene model, in order to at least solve the technical problem in related technologies that it is impossible to establish a three-dimensional scene model that can dynamically extrapolate riverbed changes, resulting in the inability to provide timely early warning of disasters.

[0006] According to one aspect of the present invention, a method for simulating and extrapolating riverbed changes based on a three-dimensional scene model is provided, comprising: collecting watershed data of a target watershed and establishing a three-dimensional scene model based on the watershed data; using the three-dimensional scene model to extrapolate riverbed changes based on river sedimentation change data established from hydrological monitoring information; and adjusting the riverbed height parameter in the three-dimensional scene model according to the sedimentation parameter in the river sedimentation change data during the riverbed change extrapolation.

[0007] Optionally, the step of establishing a three-dimensional scene model based on the watershed data includes: processing the watershed data to obtain preset model data; preprocessing the preset model data to obtain initial preset model data; stretching the parameters in the initial preset model data to obtain target preset model data; and performing parameter transformation on the target preset model data to establish the three-dimensional scene model based on the digital twin watershed scene.

[0008] Optionally, before using the three-dimensional scene model to extrapolate riverbed changes based on the river sedimentation change data established by hydrological data monitoring information, the method further includes: monitoring a preset river section of the target watershed to obtain hydrological data monitoring information, wherein the hydrological data monitoring information includes at least: sediment concentration data; generating unit sediment concentration change data based on the hydrological data monitoring information; and determining river sedimentation data based on the unit sediment concentration parameter in the unit sediment concentration change data and historical hydrological data.

[0009] Optionally, the step of determining river sedimentation data based on the unit sediment concentration parameter in the unit sediment concentration change data and historical hydrological data includes: acquiring the historical hydrological data, wherein the historical hydrological data includes: historical unit sediment concentration parameters, historical water flow velocity data, and historical river sedimentation data for different river sections at different time points; calculating the river sedimentation coefficient at different time points based on the historical hydrological data; and determining the river sedimentation data based on the water flow velocity parameter, unit sediment concentration parameter, and the river sedimentation coefficient at the current time point in the preset river section.

[0010] Optionally, after determining the river sediment deposition data, the method further includes: extracting the average value of parameters from the historical river sediment deposition data of the preset river section based on the historical hydrological data; calculating the absolute difference between the parameter values ​​in the river sediment deposition data and the average value of parameters; verifying the hydrological data monitoring information if the absolute difference is greater than or equal to a preset difference threshold; and determining that the river sediment deposition data has been successfully verified if the absolute difference is less than the preset difference threshold.

[0011] Optionally, after confirming the successful calculation of the river sediment deposition data, the method further includes: acquiring target data of the target watershed within a first preset time period, wherein the target data includes: watershed environmental data, water flow velocity data, and riverbed height data; and generating river sediment deposition change data with the first preset time period as the cycle based on the target data and the river sediment deposition data, wherein the river sediment deposition change data is used to adjust the parameters in the three-dimensional scene model to present the evolution process of the riverbed height parameters and environmental parameters of the target watershed with the first preset time period as the cycle in the three-dimensional scene model.

[0012] Optionally, before using the three-dimensional scene model to extrapolate riverbed changes based on the river sedimentation change data established by hydrological data monitoring information, the method further includes: acquiring riverbed data, historical river sedimentation data, and precipitation data within a second preset time period; calculating the average sedimentation amount within the second preset time period based on the riverbed data and the historical river sedimentation data; determining the change state of the average precipitation amount within the second preset time period based on the precipitation data; determining the error level based on the change state of the average precipitation amount; and adjusting the average sedimentation amount based on the error level to obtain a warning sedimentation threshold.

[0013] Optionally, the method further includes: performing an early warning process when the sedimentation parameter is greater than or equal to the early warning sedimentation threshold, wherein the early warning process includes: determining the change state of the river sedimentation data within a third preset time period; determining that the sedimentation parameter is in a first adjustment state when the change state is a first state, and performing a first risk early warning process; determining that the sedimentation parameter is in a second adjustment state when the change state is a second state, and performing a second risk early warning process; and determining that the sedimentation parameter is in a third adjustment state when the change state is a third state, and performing a third risk early warning process.

[0014] Optionally, the third risk warning process includes: extracting the coordinate information of the river section indicated by the siltation parameter in the third adjustment state; determining the current weather conditions based on watershed environmental data; conducting dredging operations based on the coordinate information if the current weather conditions are non-hazardous; and prohibiting dredging operations if the current weather conditions are hazardous.

[0015] According to another aspect of the present invention, a riverbed change simulation and deduction device based on a three-dimensional scene model is also provided, comprising: a modeling unit for collecting watershed data of a target watershed and modeling a three-dimensional scene model based on the watershed data; a deduction unit for using the three-dimensional scene model to deduce riverbed changes based on river sedimentation change data established from hydrological monitoring information; and an adjustment unit for adjusting the riverbed height parameter in the three-dimensional scene model according to the sedimentation parameter in the river sedimentation change data during the riverbed change deduction.

[0016] Optionally, the establishment unit includes: a first processing module for processing the watershed data to obtain preset model data; a second processing module for preprocessing the preset model data to obtain initial preset model data; a third processing module for stretching the parameters in the initial preset model data to obtain target preset model data; and a first establishment module for performing parameter conversion on the target preset model data to establish the three-dimensional scene model based on the digital twin watershed scene.

[0017] Optionally, the simulation and deduction device further includes: a first monitoring module, used to monitor a preset river section of the target watershed before using the three-dimensional scene model to perform riverbed change deduction based on the river sedimentation change data established based on the hydrological data monitoring information, and obtain hydrological data monitoring information, wherein the hydrological data monitoring information includes at least: sediment concentration data; a first generation module, used to generate unit sediment concentration change data based on the hydrological data monitoring information; and a first determination module, used to determine the river sedimentation data based on the unit sediment concentration parameter in the unit sediment concentration change data and historical hydrological data.

[0018] Optionally, the first determining module includes: a first acquiring submodule, used to acquire the historical hydrological data, wherein the historical hydrological data includes: historical unit sediment concentration parameters, historical water flow velocity data, and historical river sediment deposition data for different river sections at different time points; a first calculating submodule, used to calculate the river sediment deposition coefficient at different time points based on the historical hydrological data; and a first determining submodule, used to determine the river sediment deposition data based on the water flow velocity parameters, unit sediment concentration parameters, and the river sediment deposition coefficient at the current time point in the preset river section.

[0019] Optionally, the simulation and extrapolation device further includes: a first extraction module, used to extract the average value of parameters from the historical river sedimentation data of the preset river section based on the historical hydrological data after determining the river sedimentation data; a first calculation module, used to calculate the absolute difference between the parameter values ​​in the river sedimentation data and the average value of the parameters; a first verification module, used to verify the hydrological data monitoring information when the absolute difference is greater than or equal to a preset difference threshold; and a second determination module, used to determine that the calculation of the river sedimentation data is successful when the absolute difference is less than the preset difference threshold.

[0020] Optionally, the simulation and deduction device further includes: a first acquisition module, used to acquire target data of the target watershed within a first preset time period after confirming that the river sediment deposition data has been successfully calculated, wherein the target data includes: watershed environmental data, water flow velocity data, and riverbed height data; and a second generation module, used to generate river sediment deposition change data with the first preset time period as a cycle based on the target data and the river sediment deposition data, wherein the river sediment deposition change data is used to adjust the parameters in the three-dimensional scene model to present the evolution process of the riverbed height parameters and environmental parameters of the target watershed with the first preset time period as a cycle in the three-dimensional scene model.

[0021] Optionally, the simulation and deduction device further includes: a second acquisition module, used to acquire riverbed data, historical river sedimentation data, and precipitation data within a second preset time period before using the three-dimensional scene model to perform riverbed change deduction based on the river sedimentation change data established based on hydrological data monitoring information; a second calculation module, used to calculate the average sedimentation amount within the second preset time period based on the riverbed data and the historical river sedimentation data; a third determination module, used to determine the change state of the average precipitation amount within the second preset time period based on the precipitation data; a fourth determination module, used to determine the error level based on the change state of the average precipitation amount; and a first adjustment module, used to adjust the average sedimentation amount based on the error level to obtain a warning sedimentation threshold.

[0022] Optionally, the simulation and simulation device further includes: a first early warning module, used to perform early warning processing when the sedimentation parameter is greater than or equal to the early warning sedimentation threshold, wherein the early warning processing includes: determining the change state of the river sedimentation data within a third preset time period; when the change state is a first state, determining that the sedimentation parameter is in a first adjustment state and performing a first risk early warning processing; when the change state is a second state, determining that the sedimentation parameter is in a second adjustment state and performing a second risk early warning processing; and when the change state is a third state, determining that the sedimentation parameter is in a third adjustment state and performing a third risk early warning processing.

[0023] Optionally, the first early warning module includes: a first extraction submodule, used to extract the coordinate information of the river section indicated by the siltation parameter in the third adjustment state; a first judgment submodule, used to judge the current weather conditions based on watershed environmental data; a first operation submodule, used to carry out dredging operations based on the coordinate information when the current weather conditions are non-dangerous weather conditions; and a second operation submodule, used to prohibit dredging operations when the current weather conditions are dangerous weather conditions.

[0024] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to execute the above-described method for simulating and extrapolating riverbed changes based on a three-dimensional scene model.

[0025] According to another aspect of the present invention, an electronic device is also provided, including one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the above-described method for simulating and extrapolating riverbed changes based on a three-dimensional scene model.

[0026] This disclosure involves collecting watershed data of the target watershed and establishing a three-dimensional scene model based on the watershed data. Riverbed change simulations are then performed using the three-dimensional scene model, based on river sedimentation change data established from hydrological monitoring information. During the riverbed change simulation, the riverbed height parameters in the three-dimensional scene model are adjusted according to the sedimentation parameters in the river sedimentation change data. This disclosure allows for the initial establishment of a three-dimensional scene model, followed by simulation of riverbed change based on river sedimentation change data established from hydrological monitoring information. When simulating the evolution of the underwater riverbed in the watershed, the risk of disasters in the target watershed can be predicted, enabling timely early warning and reducing the risk of disasters. This solves the technical problem in related technologies where it is impossible to establish a three-dimensional scene model capable of dynamically predicting riverbed changes, leading to the inability to provide timely disaster warnings. Attached Figure Description

[0027] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0028] Figure 1 This is a flowchart of an optional method for simulating and extrapolating riverbed changes based on a three-dimensional scene model according to an embodiment of the present invention;

[0029] Figure 2 This is a flowchart of an optional risk warning based on riverbed change simulation according to an embodiment of the present invention;

[0030] Figure 3 This is a schematic diagram of an optional riverbed change simulation and deduction device based on a three-dimensional scene model according to an embodiment of the present invention;

[0031] Figure 4This is a hardware structure block diagram of an electronic device (or mobile device) for a method of simulating and extrapolating riverbed changes based on a three-dimensional scene model, according to an embodiment of the present invention. Detailed Implementation

[0032] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0033] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0034] To facilitate understanding of the present invention by those skilled in the art, some terms or nouns involved in the various embodiments of the present invention are explained below:

[0035] Digital twin watershed: This involves mapping a physical watershed to the digital world, such as modeling and recreating the water quality of every component in a water conservancy project, including rivers, lakes, dams, and hydroelectric power stations.

[0036] It should be noted that all information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for display, data used for analysis, etc.) involved in this disclosure are information and data authorized by the user or fully authorized by all parties. For example, this system has an interface with relevant users or organizations. Before obtaining relevant information, it is necessary to send an acquisition request to the aforementioned user or organization through the interface, and obtain the relevant information after receiving consent information from the aforementioned user or organization.

[0037] The three-dimensional scene model proposed in this invention can dynamically simulate the evolution process of the underwater riverbed in a watershed, allowing residents to understand the changes in the riverbed more quickly and intuitively, and increasing residents' awareness of the importance of controlling soil erosion.

[0038] This invention uses data acquisition equipment (such as lidar-equipped devices) to scan a target watershed, processes the scanned data source to obtain preset model data (e.g., DEM (Digital Elevation Model) data), and builds a digital twin 3D scene model of the watershed based on this preset model data, thus establishing a digital twin foundation for the target watershed. Then, relying on this digital twin foundation, hydrological data monitoring equipment (such as turbidimeters and sediment analyzers) is used to calculate the watershed's water quality and sediment deposition over specific time periods. By analyzing historical hydrological data, the sediment deposition over specific time periods is calculated to obtain numerical values. After obtaining these values, a computer system adjusts the underwater riverbed height at corresponding time periods based on the corresponding numerical changes, and simulates the process. At the same time, historical hydrological data can be extracted to identify the risks caused by changes in sedimentation and calculate the corresponding warning thresholds. When simulating the evolution of the underwater riverbed in the basin, warning measures are generated when the numerical parameters reach the warning thresholds to remind staff to conduct inspections in the target basin to confirm whether treatment measures are needed.

[0039] The present invention will now be described in detail with reference to various embodiments.

[0040] Example 1

[0041] According to an embodiment of the present invention, an embodiment of a method for simulating and extrapolating riverbed changes based on a three-dimensional scene model is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0042] Figure 1 This is a flowchart of an optional method for simulating and extrapolating riverbed changes based on a three-dimensional scene model according to an embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps:

[0043] Step S101: Collect watershed data of the target watershed and establish a three-dimensional scene model based on the watershed data.

[0044] Step S102: Based on the hydrological data monitoring information, the riverbed change data is simulated using a three-dimensional scene model.

[0045] Step S103: In the case of riverbed change simulation, adjust the riverbed height parameter in the three-dimensional scene model according to the sedimentation parameter in the sedimentation data.

[0046] Through the above steps, watershed data of the target watershed can be collected, and a three-dimensional scene model can be established based on the watershed data. Based on the sedimentation change data established from hydrological monitoring information, the three-dimensional scene model is used to simulate riverbed changes. During the riverbed change simulation, the riverbed height parameter in the three-dimensional scene model is adjusted according to the sedimentation parameters in the sedimentation change data. In this embodiment of the invention, a three-dimensional scene model can be established first, and then, based on the sedimentation change data established from hydrological monitoring information, the three-dimensional scene model can be used to simulate and simulate riverbed changes. When simulating and extrapolating the evolution of the underwater riverbed in the watershed, if the risk of disasters occurring in the target watershed is deduced, timely early warning can be issued to reduce the risk of disasters. This solves the technical problem in related technologies where it is impossible to establish a three-dimensional scene model capable of dynamically extrapolating riverbed changes, resulting in the inability to provide timely early warnings of disasters.

[0047] The embodiments of the present invention will now be described in detail with reference to the steps described above.

[0048] Step S101: Collect watershed data of the target watershed and establish a three-dimensional scene model based on the watershed data.

[0049] Optionally, the steps for establishing a three-dimensional scene model based on watershed data include: processing the watershed data to obtain preset model data; preprocessing the preset model data to obtain initial preset model data; stretching the parameters in the initial preset model data to obtain target preset model data; and performing parameter transformation on the target preset model data to establish a three-dimensional scene model based on the digital twin watershed scene.

[0050] In this embodiment of the invention, the target watershed refers to the river section within which a digital twin scene needs to be built. Watershed data can be collected using data acquisition devices such as unmanned aerial vehicles equipped with lidar, for example, an unmanned vessel can collect data on the river section within the target watershed. The collected watershed data is then processed to obtain preset model data (such as DEM data). Then, the obtained preset model data is used to build a digital twin watershed scene to generate a three-dimensional scene model. Specifically, the preset model data can be preprocessed (including merging, sampling, projection, resampling, etc.) to obtain preprocessed initial preset model data. Then, the initial preset model data is stretched (range stretching refers to enlarging the parameters in the data, i.e., stretching the parameters in the initial preset model data to obtain the target preset model data). Finally, the target preset model data undergoes parameter transformation to establish a watershed digital twin three-dimensional scene model, i.e., generating a three-dimensional scene model with geographic information.

[0051] Optionally, before using a three-dimensional scene model to extrapolate riverbed changes based on the river sedimentation change data established by hydrological data monitoring information, the process also includes: monitoring a preset river section of the target watershed to obtain hydrological data monitoring information, wherein the hydrological data monitoring information includes at least: sediment concentration data; generating unit sediment concentration change data based on the hydrological data monitoring information; and determining river sedimentation data based on the unit sediment concentration parameter in the unit sediment concentration change data and historical hydrological data.

[0052] In this embodiment of the invention, a predetermined river section of the target watershed can be monitored (i.e., key points within the river section are monitored, such as real-time hydrological monitoring of key points in areas prone to soil erosion, areas with sparse vegetation, and river sections), to obtain hydrological data monitoring information (which includes at least sediment content data, etc.), in order to determine the sediment content of the river water and the amount of sediment deposition. Specifically:

[0053] Hydrological monitoring points can be established at predetermined locations along river sections prone to soil erosion and key sections of the basin to monitor hydrological data such as sediment content. Based on the hydrological data, unit sediment content variation data is generated, with time points as the horizontal axis and sediment content as the vertical axis. Then, based on the unit sediment content parameter in the unit sediment content variation data and historical hydrological data, the amount of river sediment deposition is calculated.

[0054] Optionally, the step of determining river sediment deposition data based on the unit sediment concentration parameter in the unit sediment concentration change data and historical hydrological data includes: acquiring historical hydrological data, wherein the historical hydrological data includes: historical unit sediment concentration parameters, historical water flow velocity data, and historical river sediment deposition data for different river sections at different time points; calculating the river sediment deposition coefficient at different time points based on the historical hydrological data; and determining the river sediment deposition data based on the water flow velocity parameter, unit sediment concentration parameter, and river sediment deposition coefficient at the current time point in the preset river section.

[0055] In this embodiment of the invention, historical hydrological data can be obtained first. This historical hydrological data may include: historical unit sediment concentration parameters, historical water flow velocity data, historical river sediment deposition data, etc., for different river sections at different time points. Then, based on the historical hydrological data, the river sediment deposition coefficient at different time points is calculated. Finally, based on the water flow velocity parameters, unit sediment concentration parameters, and the river sediment deposition coefficient at the current time point in the preset river section, the current river sediment deposition data for the corresponding preset river section is calculated.

[0056] Optionally, after determining the river sediment deposition data, the method further includes: extracting the average value of parameters from the historical river sediment deposition data of a preset river section based on historical hydrological data; calculating the absolute difference between the parameter values ​​in the river sediment deposition data and the average value of parameters; verifying the hydrological data monitoring information if the absolute difference is greater than or equal to a preset difference threshold; and determining that the river sediment deposition data has been successfully verified if the absolute difference is less than the preset difference threshold.

[0057] In this embodiment of the invention, after hydrological monitoring of a preset river section and prediction of river sediment deposition based on different water flow velocities, the obtained river sediment deposition data can be verified. Specifically, the average parameter value in the historical river sediment deposition data of the preset river section can be extracted from historical hydrological data. Then, the parameter values ​​in the river sediment deposition data of similar river sections are compared with the average parameter value (i.e., the absolute difference between the parameter values ​​and the average parameter value in the river sediment deposition data can be calculated). When the absolute difference is greater than or equal to a preset difference threshold (i.e., when the comparison results show a large difference), technical personnel can be notified to verify the equipment monitoring method and the calculated data to ensure the rationality and correctness of the data (i.e., verifying the hydrological data monitoring information when the absolute difference is greater than or equal to the preset difference threshold). When the absolute difference is less than the preset difference threshold (i.e., when the comparison results confirm no large difference), the river sediment deposition data verification is successful, and the river sediment deposition verification work can be terminated.

[0058] Optionally, after confirming the successful calculation of river sediment deposition data, the method further includes: acquiring target data for the target watershed within a first preset time period, wherein the target data includes: watershed environmental data, water flow velocity data, and riverbed height data; and generating river sediment deposition change data with a period of the first preset time period based on the target data and the river sediment deposition data, wherein the river sediment deposition change data is used to adjust the parameters in the three-dimensional scene model to present the evolution process of the riverbed height parameters and environmental parameters of the target watershed with a period of the first preset time period in the three-dimensional scene model.

[0059] In this embodiment of the invention, river sedimentation change data can be established with a preset time period as the cycle to simulate the evolution of river sedimentation. Specifically, using time data as an identifier and latitude and longitude data as a reference, target data of the target watershed within a first preset time period can be obtained. This target data includes watershed environmental data, water flow velocity data, riverbed height data, etc. Then, based on the target data and river sedimentation data, river sedimentation change data with a cycle of the first preset time period can be generated. Based on this river sedimentation change data, the parameters in the three-dimensional scene model can be adjusted to present the evolution process of the riverbed height parameters and environmental parameters of the target watershed with a cycle of the first preset time period in the three-dimensional scene model.

[0060] Optionally, before using a three-dimensional scene model to extrapolate riverbed changes based on the river sedimentation change data established from hydrological monitoring information, the method further includes: acquiring riverbed data, historical river sedimentation data, and precipitation data within a second preset time period; calculating the average sedimentation amount within the second preset time period based on the riverbed data and historical river sedimentation data; determining the change state of the average precipitation amount within the second preset time period based on the precipitation data; determining the error level based on the change state of the average precipitation amount; and adjusting the average sedimentation amount based on the error level to obtain the warning sedimentation threshold.

[0061] In this embodiment of the invention, a warning threshold for river sediment deposition (i.e., a warning deposition threshold) can be extracted based on riverbed data and historical sediment deposition data. Specifically, riverbed data, historical sediment deposition data, and precipitation data for a second preset time period (e.g., different quarters in recent years) can be obtained first. Then, the average deposition amount within the second preset time period is calculated based on the riverbed data and historical sediment deposition data. Simultaneously, past precipitation data can be compared (e.g., comparing the average precipitation changes in the same quarters of recent years, i.e., determining the average precipitation change state within the second preset time period based on precipitation data). Based on the average precipitation change state, an error level is determined. After removing errors caused by precipitation (i.e., adjusting the average deposition amount based on the error level), the warning deposition threshold is obtained. This approach can prevent errors caused by differences in precipitation data.

[0062] Step S102: Based on the hydrological data monitoring information, the riverbed change data is simulated using a three-dimensional scene model.

[0063] In this embodiment of the invention, the riverbed change data can be established based on hydrological data monitoring information. Using latitude and longitude as a reference, the parameter positions corresponding to the riverbed change in the three-dimensional scene model can be found, and a three-dimensional simulation of the riverbed change can be performed.

[0064] It is also possible to establish the parameter evolution process of the river environment based on environmental data. For example, the continuous accumulation and change process of precipitation.

[0065] Step S103: In the case of riverbed change simulation, adjust the riverbed height parameter in the three-dimensional scene model according to the sedimentation parameter in the sedimentation data.

[0066] Optionally, when the sedimentation volume parameter is greater than or equal to the warning sedimentation volume threshold, a warning process is initiated. The warning process includes: determining the change status of the river sedimentation volume data within a third preset time period; if the change status is a first status, determining that the sedimentation volume parameter is in a first adjustment status and initiating a first risk warning process; if the change status is a second status, determining that the sedimentation volume parameter is in a second adjustment status and initiating a second risk warning process; and if the change status is a third status, determining that the sedimentation volume parameter is in a third adjustment status and initiating a third risk warning process.

[0067] In this embodiment of the invention, after the parameter value of the sedimentation amount parameter reaches the warning sedimentation amount threshold, pre-treatment processing can be carried out based on the sedimentation changes after the threshold is triggered (that is, when the parameter value of the sedimentation amount parameter is greater than or equal to the warning sedimentation amount threshold, the change status of the river sand sedimentation amount data within a third preset time period is determined).

[0068] If the siltation level does not change significantly within a short period of time (i.e., within the third preset time period) after reaching the warning siltation threshold, or if the siltation level does not continuously increase over time (the curve remains unchanged), then the assessment is low risk (i.e., the change state is determined as the first state). For low risk, the relevant management personnel can be notified according to the weather conditions, and suggestions for handling siltation and detection can be given. For example, it can be detected whether the river channel needs to be cleared to avoid the river channel blockage causing the riverbed to rise continuously and the river water to overflow, etc. (i.e., under the condition that the change state is the first state, the siltation level parameter is determined to be in the first adjustment state, and the first risk warning treatment is carried out. This first risk warning treatment is the warning treatment carried out for low risk).

[0069] Once the warning siltation threshold is triggered, if the siltation level rises steadily over time (the curve changes smoothly), it is assessed as medium risk (i.e., the change state is determined to be the second state). For medium risk, treatment suggestions can be given based on the river environment conditions (such as soil quality, vegetation conditions, etc.) at the corresponding monitoring points. For example, if the siltation level in a river section rises slowly and continuously, it is determined that the river has reached the warning position where dredging is necessary, and it is recommended to carry out river dredging tasks, etc. (that is, under the condition that the change state is the second state, the siltation level parameter is determined to be in the second adjustment state, and the second risk warning treatment is carried out. This second risk warning treatment is the warning treatment carried out for medium risk.)

[0070] Once the warning siltation threshold is triggered, if the siltation level continues to rise rapidly within a short period (the curve shows a sharp increase) and is accompanied by rainfall, it will be assessed as high risk (i.e., the change state is determined to be the third state). For high risk, it can be determined that the river channel has been blocked, the sediment volume continues to rise rapidly, and it has reached the warning disaster location. It is recommended to carry out the third risk warning treatment, and immediately notify the relevant personnel to confirm whether there is flooding around the river channel, and trigger disaster response preparation work (i.e., under the change state of the third state, determine that the siltation parameter is in the third adjustment state, and carry out the third risk warning treatment. This third risk warning treatment is the warning treatment carried out for high risk).

[0071] Optionally, the steps for conducting the third risk warning process include: extracting the coordinate information of the river section indicated by the siltation parameter in the third adjustment state; determining the current weather conditions based on watershed environmental data; conducting dredging operations based on the coordinate information if the current weather conditions are non-hazardous; and prohibiting dredging operations if the current weather conditions are hazardous.

[0072] In this embodiment of the invention, the coordinate information of the high-risk river channel can be extracted first (i.e., the coordinate information of the river segment indicated by the siltation parameter in the third adjustment state). Based on the environmental data, it can be determined whether there is extreme weather (i.e., the current weather conditions). If the current weather is not extreme, it is determined that the operation can be carried out, and the dredging team is notified to carry out emergency dredging operations (i.e., dredging operations are carried out based on the coordinate information when the current weather conditions are not dangerous). If the current weather is extreme, it is determined that the operation cannot be carried out, and the dredging team is notified to prohibit the dredging operations (i.e., dredging operations are prohibited when the current weather conditions are dangerous).

[0073] The following describes in detail another optional implementation method.

[0074] Figure 2 This is an optional flowchart for risk early warning based on riverbed change simulation according to an embodiment of the present invention, such as... Figure 2 As shown, it includes the following steps:

[0075] Step 1: Data collection in the watershed.

[0076] A watershed refers to the river section within which a digital twin scenario needs to be built. Data is collected from the river section using unmanned equipment equipped with lidar (e.g., unmanned vessels), and the collected lidar data is processed to obtain a DEM (Depth Model Data).

[0077] Step 2: Build a digital twin 3D scene model of the watershed.

[0078] A digital twin 3D scene model of the watershed is built using the obtained DEM data. This involves data processing of the DEM data (e.g., merging, sampling, projection, resampling, etc.), range stretching (i.e., enlarging parameters in elevation data), and parameter transformation to generate a 3D scene model with geographic information.

[0079] Step 3: Calculation of river siltation.

[0080] By monitoring key points within the river section, such as areas with sparse vegetation prone to soil erosion, and other key points along the river, real-time hydrological data is monitored to assess the sediment content of the river water and the amount of sediment accumulation. Specifically:

[0081] a. Establish hydrological monitoring points in river sections prone to soil erosion and in key river sections of the basin;

[0082] b. Monitor data such as sediment content in river water;

[0083] c. Based on hydrological data monitoring information, a curve showing the change in unit sediment content is generated with time nodes as the horizontal axis and sediment content as the vertical axis.

[0084] d. Calculate river sediment deposition data based on unit sediment concentration parameters and historical hydrological data: Calculate the river sediment deposition coefficient for the corresponding river section at different time points based on the unit sediment concentration data, water flow velocity, and sediment deposition amount in different river sections from historical hydrological data; then calculate the current sediment deposition data for the corresponding river section based on the water flow velocity, current unit sediment concentration parameters, and the river sediment deposition coefficient for the corresponding river section at the same historical time point.

[0085] Step 4: Calculation of river siltation data.

[0086] When monitoring hydrological data at key river sections, the amount of river sediment deposition can be predicted by judging different water flow velocities. The following is the process of calculating the obtained river sediment deposition data:

[0087] Based on historical hydrological data, the average value of the siltation data of relevant river channels is extracted;

[0088] b. Compare the sediment deposition data of similar river sections with the average sediment deposition data of river sections in the basin;

[0089] c. When there are significant differences in the comparison results, notify the technical personnel to verify the equipment monitoring methods and calculation data to ensure the rationality and accuracy of the data;

[0090] d. When the comparison results confirm that there is no significant difference, the calculation of river sediment deposition is completed.

[0091] Step 5: Extract the threshold for early warning siltation.

[0092] Early warning thresholds for river sediment deposition are extracted based on riverbed data and historical data on sediment deposition changes. Details are as follows:

[0093] a. Calculate the average parameters of riverbed height and sediment deposition for different quarters in the most recent time period;

[0094] b. Compare with past precipitation data: Compare the changes in the average precipitation in the same quarter in recent years to prevent errors caused by differences in precipitation data;

[0095] After removing errors caused by precipitation, the average value of siltation in the same quarter of recent years is taken and set as the warning siltation threshold.

[0096] Step Six: Simulation and deduction of the evolution of river sedimentation.

[0097] The evolution of river sedimentation is simulated using time-period data on changes in river sedimentation, as detailed below:

[0098] Data collection: Using time data as an identifier and latitude and longitude data as a reference, collect data on river section siltation, watershed environment, river flow velocity, and riverbed height;

[0099] b. Establish a 3D simulation: Using latitude and longitude as a reference, find the parameter locations corresponding to the river siltation volume in the 3D scene model;

[0100] c. Adjust the riverbed height in the corresponding 3D scene model according to the changes in the siltation parameters;

[0101] d. Based on watershed environmental data, establish the parameter evolution process of the river channel environment. For example, the continuous cumulative change process of precipitation.

[0102] Step 7: Early warning and response to river siltation.

[0103] Based on the corresponding threshold for river sediment deposition, a risk warning and response mechanism for changes in sediment deposition is established for the corresponding river channels. Details are as follows:

[0104] Once the sediment in section a reaches the warning threshold, pre-treatment will be carried out based on the changes in sedimentation after the threshold is triggered.

[0105] b. Risk assessment method: If the amount of sediment does not change significantly in a short period of time after reaching the warning threshold, or if the trend of change over time does not continue to rise (the curve does not change), then it is assessed as low risk.

[0106] For low-risk assessments, the relevant management personnel will be notified based on weather conditions, and suggestions for handling dredging and testing will be provided. For example, it will be tested whether the river channel needs to be cleared to avoid the river channel blockage causing the riverbed to rise continuously and the river water to overflow.

[0107] d. If the amount of sediment increases steadily over time after the warning threshold is triggered (the curve changes steadily), then the assessment is medium risk.

[0108] For medium-risk areas, suggestions for handling will be given based on the river environment conditions (such as soil quality and vegetation conditions) at the corresponding monitoring points. For example, if the siltation in the corresponding river section is slowly increasing and the riverbed height is approaching the warning position, it is recommended to carry out river dredging when the riverbed height reaches the warning position where dredging is necessary.

[0109] If the amount of siltation continues to rise rapidly in a short period of time after reaching the warning threshold (the curve changes sharply), and this is accompanied by rainfall, it will be assessed as high risk.

[0110] For the high-risk assessment, the sediment volume continues to rise rapidly, and it is determined that the river channel is prone to siltation. The assessment has reached the warning disaster position. The recommended response is to immediately notify the relevant personnel to confirm whether there is flooding around the river channel and trigger disaster response preparation work.

[0111] h Risk Management Process: Extract the coordinate information of high-risk river channels; determine whether the river is under extreme weather conditions based on watershed environmental data; if the current weather is not extreme, determine that environmental inspection and dredging operations can be carried out, and notify the work team to carry out the corresponding work; if the current weather is extreme, determine that the operations cannot be carried out, and notify the work team to prohibit the operations.

[0112] In this embodiment of the invention, a three-dimensional scene simulation of the evolution process of the underwater riverbed in a watershed can be realized through a digital twin three-dimensional scene, and subtle changes in sediment deposition can be clearly marked in the form of a three-dimensional scene for risk warning.

[0113] This embodiment utilizes collected data to establish a digital twin foundation. Real-time data acquired through real-time monitoring is used as input parameters for simulation and extrapolation to simulate riverbed changes. This provides a direct understanding of real-time riverbed changes, reducing risks. Furthermore, real-time visualization of 3D data reduces the frequency of manual inspections. By simulating riverbed changes based on parameter variations and establishing a riverbed simulation model, future riverbed trends can be predicted, enabling the assessment of potential risks from future riverbed shifts and mitigating the risk of disasters. Simultaneously, countermeasures can be developed based on the simulation results of riverbed changes, and contingency plans can be formulated accordingly.

[0114] The following is a detailed description with reference to another embodiment.

[0115] Example 2

[0116] The riverbed change simulation and deduction device based on a three-dimensional scene model provided in this embodiment includes multiple implementation units, each of which corresponds to a specific implementation step in Embodiment 1 above.

[0117] Figure 3 This is a schematic diagram of an optional riverbed change simulation and deduction device based on a three-dimensional scene model according to an embodiment of the present invention, such as... Figure 3 As shown, the simulation and deduction device may include: a setup unit 30, a deduction unit 31, and an adjustment unit 32, wherein,

[0118] Unit 30 is used to collect watershed data of the target watershed and build a three-dimensional scene model based on the watershed data;

[0119] The simulation unit 31 is used to simulate riverbed changes based on the river sedimentation change data established by hydrological data monitoring information and a three-dimensional scene model.

[0120] Adjustment unit 32 is used to adjust the riverbed height parameter in the three-dimensional scene model based on the sedimentation parameter in the sedimentation data when performing riverbed change simulation.

[0121] The aforementioned simulation and deduction device can collect watershed data of the target watershed through the establishment unit 30, and establish a three-dimensional scene model based on the watershed data. The deduction unit 31, based on the sedimentation change data established by hydrological monitoring information, uses the three-dimensional scene model to deduce riverbed changes. The adjustment unit 32, while performing riverbed change deduction, adjusts the riverbed height parameter in the three-dimensional scene model according to the sedimentation parameters in the sedimentation change data. In this embodiment of the invention, a three-dimensional scene model can be established first, and then, based on the sedimentation change data established by hydrological monitoring information, the three-dimensional scene model can be used to simulate and deduce riverbed changes. When simulating and deducing the evolution of the underwater riverbed in the watershed, if the risk of disasters in the target watershed is deduced, timely early warning can be issued to reduce the risk of disasters. This solves the technical problem in related technologies where it is impossible to establish a three-dimensional scene model that can dynamically deduce riverbed changes, resulting in the inability to provide timely early warnings of disasters.

[0122] Optionally, the establishment unit includes: a first processing module for processing watershed data to obtain preset model data; a second processing module for preprocessing the preset model data to obtain initial preset model data; a third processing module for stretching the parameters in the initial preset model data to obtain target preset model data; and a first establishment module for performing parameter transformation on the target preset model data to establish a three-dimensional scene model based on the digital twin watershed scene.

[0123] Optionally, the simulation and deduction device further includes: a first monitoring module, used to monitor a preset river section of the target watershed to obtain hydrological data monitoring information before using a three-dimensional scene model to deduce riverbed changes based on the river sedimentation change data established based on hydrological data monitoring information; wherein the hydrological data monitoring information includes at least: sediment concentration data; a first generation module, used to generate unit sediment concentration change data based on the hydrological data monitoring information; and a first determination module, used to determine the river sedimentation data based on the unit sediment concentration parameter in the unit sediment concentration change data and historical hydrological data.

[0124] Optionally, the first determining module includes: a first acquiring submodule, used to acquire historical hydrological data, wherein the historical hydrological data includes: historical unit sediment concentration parameters, historical water flow velocity data, and historical river sediment deposition data at different time points in different river sections; a first calculating submodule, used to calculate the river sediment deposition coefficient at different time points based on the historical hydrological data; and a first determining submodule, used to determine the river sediment deposition data based on the water flow velocity parameters, unit sediment concentration parameters, and the river sediment deposition coefficient at the current time point in a preset river section.

[0125] Optionally, the simulation and simulation device further includes: a first extraction module, used to extract the average value of parameters from the historical river sedimentation data of a preset river section based on historical hydrological data after determining the river sedimentation data; a first calculation module, used to calculate the absolute difference between the parameter values ​​in the river sedimentation data and the average value of the parameters; a first verification module, used to verify the hydrological data monitoring information when the absolute difference is greater than or equal to a preset difference threshold; and a second determination module, used to determine that the calculation of the river sedimentation data is successful when the absolute difference is less than the preset difference threshold.

[0126] Optionally, the simulation and deduction device further includes: a first acquisition module, used to acquire target data of the target watershed within a first preset time period after confirming the successful calculation of the river sedimentation data, wherein the target data includes: watershed environmental data, water flow velocity data, and riverbed height data; and a second generation module, used to generate river sedimentation change data with a period of the first preset time period based on the target data and the river sedimentation data, wherein the river sedimentation change data is used to adjust the parameters in the three-dimensional scene model to present the evolution process of the riverbed height parameters and environmental parameters of the target watershed with a period of the first preset time period in the three-dimensional scene model.

[0127] Optionally, the simulation and deduction device further includes: a second acquisition module, used to acquire riverbed data, historical river sedimentation data, and precipitation data within a second preset time period before using a three-dimensional scene model to deduce riverbed changes based on river sedimentation change data established based on hydrological data monitoring information; a second calculation module, used to calculate the average sedimentation amount within the second preset time period based on the riverbed data and historical river sedimentation data; a third determination module, used to determine the change state of the average precipitation amount within the second preset time period based on the precipitation data; a fourth determination module, used to determine the error level based on the change state of the average precipitation amount; and a first adjustment module, used to adjust the average sedimentation amount based on the error level to obtain the warning sedimentation threshold.

[0128] Optionally, the simulation and simulation device further includes: a first early warning module, used to perform early warning processing when the sedimentation parameter is greater than or equal to the early warning sedimentation threshold, wherein the early warning processing includes: determining the change state of the river sedimentation data within a third preset time period; when the change state is a first state, determining that the sedimentation parameter is in a first adjustment state and performing a first risk early warning processing; when the change state is a second state, determining that the sedimentation parameter is in a second adjustment state and performing a second risk early warning processing; and when the change state is a third state, determining that the sedimentation parameter is in a third adjustment state and performing a third risk early warning processing.

[0129] Optionally, the first early warning module includes: a first extraction submodule, used to extract the coordinate information of the river section indicated by the siltation parameter in the third adjustment state; a first judgment submodule, used to judge the current weather conditions based on watershed environmental data; a first operation submodule, used to carry out dredging operations based on the coordinate information when the current weather conditions are non-dangerous; and a second operation submodule, used to prohibit dredging operations when the current weather conditions are dangerous.

[0130] The simulation and deduction device described above may also include a processor and a memory. The establishment unit 30, the deduction unit 31, the adjustment unit 32, etc., are all stored in the memory as program units, and the processor executes the program units stored in the memory to realize the corresponding functions.

[0131] The aforementioned processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and by adjusting kernel parameters, the riverbed height parameters in the 3D scene model can be adjusted based on the sedimentation parameters in the sedimentation data during riverbed change simulations.

[0132] The aforementioned memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0133] This application also provides a computer program product that, when executed on a data processing device, is suitable for executing an initialization program with the following method steps: collecting watershed data of a target watershed and establishing a three-dimensional scene model based on the watershed data; establishing river sedimentation change data based on hydrological data monitoring information; using the three-dimensional scene model to extrapolate riverbed changes; and, in the case of extrapolating riverbed changes, adjusting the riverbed height parameter in the three-dimensional scene model according to the sedimentation parameter in the river sedimentation change data.

[0134] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored computer program, wherein, when the computer program is running, it controls the device where the computer-readable storage medium is located to execute the above-described method for simulating and extrapolating riverbed changes based on a three-dimensional scene model.

[0135] According to another aspect of the present invention, an electronic device is also provided, including one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the above-described method for simulating and extrapolating riverbed changes based on a three-dimensional scene model.

[0136] Figure 4 This is a hardware structure block diagram of an electronic device (or mobile device) for a method of simulating and extrapolating riverbed changes based on a three-dimensional scene model, according to an embodiment of the present invention. Figure 4As shown, the electronic device may include one or more processors 402 (shown as 402a, 402b, ..., 402n in the figure) 402 (processor 402 may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 404 for storing data. In addition, it may include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, a keyboard, a power supply, and / or a camera. Those skilled in the art will understand that... Figure 4 The structure shown is for illustrative purposes only and does not limit the structure of the electronic device described above. For example, the electronic device may also include components that are more... Figure 4 The more or fewer components shown, or having the same Figure 4 The different configurations shown.

[0137] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0138] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0139] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0140] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0141] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0142] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0143] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for simulating and extrapolating riverbed changes based on a three-dimensional scene model, characterized in that, include: Collect watershed data of the target watershed and build a three-dimensional scene model based on the watershed data; Based on the hydrological data monitoring information, the riverbed change data was used to simulate the three-dimensional scene model. When performing the aforementioned riverbed change simulation, the riverbed height parameter in the three-dimensional scene model is adjusted based on the sedimentation parameter in the sedimentation data. Before using the aforementioned three-dimensional scene model to extrapolate riverbed changes based on the river sedimentation change data established from hydrological monitoring information, the following steps are also included: Obtain riverbed data, historical sediment deposition data, and precipitation data within the second preset time period; Based on the riverbed data and the historical river sedimentation data, calculate the average sedimentation amount within the second preset time period; Based on the precipitation data, determine the average precipitation change status within the second preset time period; Based on the variation of the average precipitation, the error level is determined; Based on the error level, the average value of the siltation is adjusted to obtain the warning siltation threshold.

2. The simulation and deduction method according to claim 1, characterized in that, The steps for establishing a three-dimensional scene model based on the watershed data include: The watershed data is processed to obtain preset model data; The preset model data is preprocessed to obtain initial preset model data; The parameters in the initial preset model data are stretched to obtain the target preset model data; The target preset model data is converted into parameters to establish the three-dimensional scene model based on the digital twin watershed scene.

3. The simulation and deduction method according to claim 1, characterized in that, Before using the aforementioned three-dimensional scene model to extrapolate riverbed changes based on the river sedimentation change data established from hydrological monitoring information, the following steps are also included: By monitoring a predetermined section of the target watershed, hydrological data monitoring information is obtained, wherein the hydrological data monitoring information includes at least: sediment concentration data; Based on the aforementioned hydrological data monitoring information, data on changes in unit sediment concentration are generated; Based on the unit sediment concentration parameter in the unit sediment concentration change data and historical hydrological data, the river sediment deposition data is determined.

4. The simulation and deduction method according to claim 3, characterized in that, The steps for determining river sediment deposition data based on the unit sediment concentration parameter in the aforementioned unit sediment concentration variation data and historical hydrological data include: The historical hydrological data includes: historical unit sediment concentration parameters, historical water flow velocity data, and historical river sediment deposition data for different river sections at different time points. Based on the historical hydrological data, the sedimentation coefficient at different time points was calculated. Based on the water flow velocity parameters, unit sediment content parameters, and the river sediment deposition coefficient at the current time point in the preset river section, the river sediment deposition data is determined.

5. The simulation deduction method according to claim 3 or 4, characterized in that, After determining the data on river sediment deposition, the following is also included: Based on the historical hydrological data, extract the average value of parameters from the historical sediment deposition data of the preset river section; Calculate the absolute difference between the parameter values ​​in the river sedimentation data and the average value of the parameters; If the absolute difference is greater than or equal to a preset difference threshold, the hydrological data monitoring information is examined. If the absolute difference is less than the preset difference threshold, the calculation of the river sedimentation data is determined to be successful.

6. The simulation and deduction method according to claim 5, characterized in that, After confirming the successful calculation of the river sediment deposition data, the following steps are also included: Obtain target data of the target watershed within a first preset time period, wherein the target data includes: watershed environmental data, water flow velocity data, and riverbed height data; Based on the target data and the river sedimentation data, river sedimentation change data with a first preset time period is generated. The river sedimentation change data is used to adjust the parameters in the three-dimensional scene model to present the evolution process of the riverbed height parameters and environmental parameters of the target watershed with the first preset time period in the three-dimensional scene model.

7. The simulation and deduction method according to claim 1, characterized in that, Also includes: If the sedimentation rate parameter is greater than or equal to the warning sedimentation rate threshold, a warning process is initiated, wherein the warning process includes: Determine the change status of the river sedimentation data within a third preset time period; When the change state is the first state, the sedimentation parameter is determined to be in the first adjustment state, and the first risk warning process is performed. When the change state is the second state, the sedimentation parameter is determined to be in the second adjustment state, and a second risk warning process is performed. When the change state is the third state, the sedimentation parameter is determined to be in the third adjustment state, and the third risk warning process is performed.

8. The simulation deduction method according to claim 7, characterized in that, The steps for conducting third-party risk warning processing include: Extract the coordinate information of the river segment indicated by the siltation parameter in the third adjustment state; Determine the current weather conditions based on watershed environmental data; If the current weather conditions are not hazardous, dredging operations will be carried out based on the coordinate information. Dredging operations are prohibited if the current weather conditions are deemed hazardous.

9. A simulation and deduction device for riverbed changes based on a three-dimensional scene model, characterized in that, include: A model building unit is used to collect watershed data of the target watershed and build a three-dimensional scene model based on the watershed data; The simulation unit is used to simulate riverbed changes based on the river sedimentation change data established by hydrological data monitoring information and the three-dimensional scene model. The adjustment unit is used to adjust the riverbed height parameter in the three-dimensional scene model based on the sedimentation parameter in the sedimentation data when performing the riverbed change simulation. The device further includes: a second acquisition module, used to acquire riverbed data, historical river sedimentation data, and precipitation data within a second preset time period before using a three-dimensional scene model to extrapolate riverbed changes based on river sedimentation change data established from hydrological data monitoring information; a second calculation module, used to calculate the average sedimentation amount within the second preset time period based on the riverbed data and historical river sedimentation data; a third determination module, used to determine the change state of the average precipitation value within the second preset time period based on the precipitation data; a fourth determination module, used to determine the error level based on the change state of the average precipitation value; and a first adjustment module, used to adjust the average sedimentation amount based on the error level to obtain a warning sedimentation threshold.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to execute the riverbed change simulation and deduction method based on a three-dimensional scene model as described in any one of claims 1 to 8.

11. An electronic device, characterized in that, It includes one or more processors and a memory, the memory being used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement the riverbed change simulation and deduction method based on a three-dimensional scene model as described in any one of claims 1 to 8.

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